Saarini Ritesh — Product Manager

I’m an AI & Machine Learning engineer who thrives at the intersection of creativity, problem-solving, and technology. My journey began with a deep curiosity for how systems think, leading me to a B.Tech in CSE with a specialization in AI & ML and hands-on experience developing intelligent solutions from scratch. Along the way, I’ve built and deployed projects spanning computer vision (YOLO-powered parking automation), natural language processing (voice assistants), and generative AI (model fine-tuning, RAG-based search). My professional experience includes roles at Hewlett-Packard Enterprise, PwC, and Curiosify, where I delivered measurable impact by optimizing pipelines, automating analytics, and creating scalable AI services. Certified in Microsoft Azure AI Fundamentals and CompTIA Linux+, Network+, and Server+, I bring both breadth and depth — from data engineering and model optimization to deployment on cloud platforms. I’m fluent in Python, TensorFlow, and PyTorch, and I'm adept with distributed systems, which gives me the versatility to tackle complex, high-impact challenges. What sets me apart is my drive to connect the dots — translating raw data into actionable insights and turning AI concepts into practical, real-world tools. I thrive in collaborative, fast-paced environments where curiosity is encouraged and innovation is the norm. If you’re looking for someone who can blend technical rigor with a results-driven mindset to create AI solutions that matter, let’s connect. ⚙️ What drives me? -Bringing AI from the lab to life -Crafting efficient, scalable systems -Working in fast-paced, ambiguous environments -Learning, iterating, improving every single day With hands-on skills in Python, Java, C++, AWS, Azure, Firebase, and ML frameworks like TensorFlow & PyTorch, I'm actively seeking SDE roles where I can turn data into decisions, code into impact, and ideas into products that touch millions. Let’s connect if you're hiring, collaborating, or building the next big thing in AI, ML, or scalable backend systems.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in AI and Cloud Computing.

Location: Pune, Maharashtra, India

Experience: 4 yrs